Senior Product Executive/Manager
4 weeks ago
Job Title: Senior Product Executive/Manager
About the Role:
We are seeking an experienced Senior Product Executive/Manager to lead our Data Mesh & Analytics Platforms team. As a key member of our organization, you will be responsible for building and delivering exceptional data products that rely on data foundations, advanced data science capabilities, and compelling visualizations.
Key Responsibilities:
- Own the user experience – internal voice of the user in the pod (product team), supported by data platform engineers, service management, and UI/UX as required.
- Work with the scrum master and the digital data team daily, maintaining team health.
- Lead business-critical operational performance indicators and technical metrics.
- Negotiate Yes/No with the data platform users and with the delivery team; empowered to make decisions related to product features, backlog prioritization, and release planning.
- Understand and adjust for nuances and customizations required for technical platform product, including implications of cloud, data, and AI infrastructure, vendor capabilities, and key user needs.
- Ensure good practices in architecture and that the product meets applicable operational, quality, regulatory (Data Privacy, GxP, SOX, etc.),
- Provide consistent updates to leadership and executives, making communication easy and clear regarding product issues and decisions to be made.
- Data-driven – product analytics matter
- Curiosity, asking the "Why" questions from the business to understand business rules better and the "How" questions from the development team to create a better vision of what the final product should be.
- Proven experience with Agile practices and expectations.
- Experience guiding large-scale, data-platform / data lake / data warehouse products.
Requirements:
- Agile / Scrum practices using Atlassian software (Jira, Confluence).
- Deep understanding of technical platform products, and working with technical users such as engineers, ML engineers, and data scientists.
- Deep functional understanding of platform technologies (cloud, data, AI) and how they enable value delivery.
- 8+ years' experience with data transformation, data migrations, and development / implementation of data platforms (cloud, data lake, or relational data warehouse-based preferred).
- Knowledge and experience working with modern cloud-based systems (AWS preferred) and data and AI practices such as data and ML engineering, DataOps, MLOps.
- Specific experience may be required for products involving machine learning models, descriptive analytics (BI solution e.g., Power BI), user-facing web/mobile apps, data platforms or (Snowflake/Informatica).
About Sanofi:
Sanofi is an equal opportunity employer committed to diversity and inclusion. Accommodations for persons with disabilities required during the recruitment process are available upon request.
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